Results 31 to 40 of about 63,873 (257)

Tracking Multiple Objects through Occlusions [PDF]

open access: yes2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005
Visual tracking of multiple objects with continuous interactions is important for many applications such as surveillance and effective user interfaces. Complex interactions between objects results in both temporally and spatially significant occlusions, making multi-object tracking a challenging problem.
Yan Huang 0017, Irfan A. Essa
openaire   +1 more source

Online multiple object tracking with enhanced Re‐identification

open access: yesIET Computer Vision, 2023
In existing online multiple object tracking algorithms, schemes that combine object detection and re‐identification (ReID) tasks in a single model for simultaneous learning have drawn great attention due to their balanced speed and accuracy.
Wenyu Yang   +3 more
doaj   +1 more source

Structured Learning for Multiple Object Tracking [PDF]

open access: yesProcedings of the British Machine Vision Conference 2012, 2012
Adaptive tracking-by-detection methods use previous tracking results to generate a new training set for object appearance, and update the current model to predict the object location in subsequent frames. Such approaches are typically bootstarpped by manual or semi-automatic initialization in the first several frames.
Wang Yan   +2 more
openaire   +1 more source

Multiple object tracking

open access: yesWikiJournal of Science, 2023
In psychology and neuroscience, multiple object tracking (MOT) refers to the ability of humans and other animals to simultaneously monitor multiple objects as they move. It is also the term for a laboratory technique used to study this ability. In an MOT study, a number of identical moving objects are presented on a display.
openaire   +1 more source

Psychological mechanisms of multiple object tracking

open access: yesЭкспериментальная психология
Context and relevance. The multiple object tracking task is widely used to evaluate professional abilities. In this regard, it is important to understand the underlying processes, as well as the factors contributing to interindividual ...
M.M. Tcepelevich
doaj   +1 more source

Multiple object tracking based on quadratic graph matching

open access: yesIET Computer Vision, 2023
Recently, with the development of deep‐learning, the performance of multiple object tracking (MOT) algorithm based on deep neural networks has been greatly improved. However, it is still a difficult problem to successfully solve the tracking misalignment
Jiayan Gao, Qi Zou, Hongwei Zhao
doaj   +1 more source

A novel real-time multiple objects detection and tracking framework for different challenges

open access: yesAlexandria Engineering Journal, 2022
Recently, there was a lot of researches on real-time detection and tracking algorithms, as the frequent use of surveillance cameras and the expansion of its applications, especially in security and surveillance. However, many challenges have emerged that
Nuha H. Abdulghafoor, Hadeel N. Abdullah
doaj   +1 more source

Guidelines for Pediatric Radiotherapy Simulation: A Report From the Children's Oncology Group Radiation Oncology Discipline

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric radiation therapy presents unique challenges compared to adult treatments, including those of immobilization, potential need for sedation, and the critical importance of accurate, reproducible positioning. Additionally, heightened attention to imaging doses is necessary to minimize long‐term toxicity in survivors.
Parham Alaei   +17 more
wiley   +1 more source

Influence of depth cues on multiple objects tracking in 3D scene [PDF]

open access: yesPsihologija, 2010
Multiple-object-tracking tasks require an observer to track a group of identical objects moving in 2D space. The current study was conducted in an attempt to examine object tracking in 3D space.
Vidaković Vesna, Zdravković Sunčica
doaj   +1 more source

ASSIST: Refinement of a Benefits Navigator Intervention Among Low‐Income Pediatric Oncology Families

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Children with cancer living in poverty experience worse survival and quality of life. Interventions connecting low‐income families to benefits (e.g., Supplemental Nutrition Assistance Program [SNAP] improve health outcomes; yet nearly 50% of SNAP‐eligible pediatric oncology families are unenrolled.
Puja J. Umaretiya   +11 more
wiley   +1 more source

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